
DeepSeek V4 Network
All DeepSeek models now + V4 signals in one place
What it does
Tired of tab-switching for DeepSeek models and V4 rumors? As a solo dev, I built this: one fast dashboard for V3.1, R1 reasoning, Math-7B, Janus-Pro vision, VL2 — all production-ready. Lowest-cost routing, side-by-side playground, and live V4 tracking (MoE leaks, 100K context, benchmarks, agent flows) so you're set when it drops (1T rumored). 30 days free on legacy models. Switch easily, ditch the FOMO. Feedback welcome — let's prep for V4 together!
Does the same job
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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